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反加窗算法及其在扩频系统窄带干扰抑制中的应用

孟东 缪玲娟 张希

孟东, 缪玲娟, 张希. 反加窗算法及其在扩频系统窄带干扰抑制中的应用[J]. 电子与信息学报, 2015, 37(10): 2349-2355. doi: 10.11999/JEIT150200
引用本文: 孟东, 缪玲娟, 张希. 反加窗算法及其在扩频系统窄带干扰抑制中的应用[J]. 电子与信息学报, 2015, 37(10): 2349-2355. doi: 10.11999/JEIT150200
Meng Dong, Miao Ling-juan, Zhang Xi. Inverse Windowing Algorithm and Its Application to Narrow-band Interference Suppression in Direct Sequence Spectrum System[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2349-2355. doi: 10.11999/JEIT150200
Citation: Meng Dong, Miao Ling-juan, Zhang Xi. Inverse Windowing Algorithm and Its Application to Narrow-band Interference Suppression in Direct Sequence Spectrum System[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2349-2355. doi: 10.11999/JEIT150200

反加窗算法及其在扩频系统窄带干扰抑制中的应用

doi: 10.11999/JEIT150200
基金项目: 

国家自然科学基金(61153002)和总装备部预先研究基金(51309030104)

Inverse Windowing Algorithm and Its Application to Narrow-band Interference Suppression in Direct Sequence Spectrum System

Funds: 

The National Natural Science Foundation of China (61153002?)

  • 摘要: 为了证明反加窗算法是一种完全重构算法,将完全不同的反加窗算法和重叠加窗算法合并为相同的信噪比数学模型,分析了反加窗算法;通过建立等效模型,用信号重构理论推导出等效模型的信噪比损失,证明了反加窗算法是一种完全重构算法,提出了反加窗算法只有在信号不完全重构的条件下才需要使用的观点。在直接序列扩频系统中,通过对布莱克曼窗和汉宁窗的对比,在窄带噪声干扰下仿真误码率,证明了该文结论的正确性,并提出了干扰抑制方案。
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出版历程
  • 收稿日期:  2015-02-03
  • 修回日期:  2015-05-08
  • 刊出日期:  2015-10-19

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